Tools

Four tools for working with Open Food Facts — a free, crowd-sourced database of 3M+ packaged food products:

off_get_product

Fetch a packaged food product by barcode (EAN-13 or UPC).

• Accepts 8–14 digit barcodes (EAN-13, EAN-8, UPC-A, UPC-E)
• Returns ingredients (raw text and parsed list with percent estimates, vegan/vegetarian flags), all 14 major allergens as tag IDs, E-number additives, Nutri-Score a–e, NOVA 1–4, Green-Score/Eco-Score, every nutrient Open Food Facts holds per 100g and per serving, the serving size those per-serving figures are measured against, categories/labels/packaging/origins as canonical tag IDs, front image URL, and data completeness score (0–1)
• Optional fields parameter restricts the response to a subset (e.g., scores only, or nutrition only)
• Open Food Facts is crowd-sourced — a missing field means "not yet entered by contributors," not that the attribute is absent from the actual product
• A barcode no contributor has recorded raises the not_found error carrying a recovery hint — it is never returned as an empty result

off_search_products

Search Open Food Facts by text and/or structured tag filters.

• Full-text search across product names, brands, and ingredients
• Structured filters: categories_tag, brands_tag, labels_tag, allergens_tag, additives_tag, nutrition_grade (a–e), nova_group (1–4), countries_tag
• Text query and tag filters combine — a query with filters returns products that match the text and satisfy every filter (e.g., query: "dark chocolate" + labels_tag: en:organic + countries_tag: en:france)
• All filter values are canonical tag IDs — use off_browse_taxonomy to resolve human terms (e.g., "organic" → en:organic). brands_tag takes a brand slug and matches it exactly; open-ended brand wording belongs in query
• additives_tag filters only on searches with no text query — the text backend does not index additives, so pairing the two is rejected up front rather than returning an empty result set that looks like "no such product"
• Pagination via page (1-based) and page_size (1–50, default 20)
• total is exact on tag-only searches. Text searches stop counting at 10,000 matches, and when that ceiling is hit the response says so with total_is_lower_bound: true and renders the count as 10000+ — add filters for an exact figure
• Searches carrying a text query serve only the first 10,000 results — a deeper page * page_size is rejected up front with the highest reachable page, not sent and retried. Tag-only searches publish no window, but deep pages are refused unpredictably, so narrowing the filters beats paging far in
• Returns summary rows (barcode, name, brand, Nutri-Score, NOVA, categories) — use off_get_product for full label data
• Result counts reflect contributed products, not total products on the market
• Search limited to ~10 requests/min by this server's own client-side budget, kept well inside what Open Food Facts asks of clients

off_compare_products

Side-by-side nutrition and scoring comparison for 2–10 barcodes.

• Accepts 2–10 barcodes, compared in the order provided
• Returns a normalized comparison table: energy (kcal/100g), fat, saturated fat, sugars, salt, protein, fiber, Nutri-Score, NOVA group, and Green-Score
• Missing nutrition data is preserved as null — comparisons are not imputed or estimated
• not_found list identifies barcodes with no contributor record (partial results are not an error)
• failed list identifies barcodes whose fetch failed, with the per-barcode reason — kept separate from not_found, which claims the opposite. A failed barcode never blocks the rows that resolved

off_browse_taxonomy

Resolve a human term to the canonical Open Food Facts tag ID before building off_search_products filters.

• Facets: categories, labels, allergens, additives, countries, nova_groups, nutrition_grades
• With a search term, the five open facets resolve against the live Open Food Facts taxonomy — tens of thousands of category tags, not a fixed local list. Matching is case-insensitive substring against tag ID or display name (e.g., "gluten" → en:no-gluten, en:gluten-free)
• Upstream tags are often plural ("kombucha" → en:kombuchas) — pass the returned id through unchanged rather than constructing one
• nova_groups and nutrition_grades are closed vocabularies answered offline and returned complete. Their IDs are bare (1–4, a–e), matching what off_search_products accepts
• Live results are merged behind an in-process sample that also serves offline operation. If Open Food Facts is unreachable or the taxonomy budget is spent, the tool answers from that sample and says so rather than failing — an empty result is never presented as an authoritative "no such tag"
• Omitting search lists only the offline sample. The upstream taxonomy endpoint suggests against a term and cannot enumerate a facet, so an unfiltered call is not a view of the full vocabulary and reports no facet total
• limit controls results returned (1–100, default 20). There is no offset or page input — the upstream endpoint offers no cursor, so narrow the term instead
• Taxonomy lookups carry their own ~10 requests/min client-side budget, separate from the search budget

Features

Built on @cyanheads/mcp-ts-core:

• Declarative tool definitions — single file per tool, framework handles registration and validation
• Unified error handling — handlers throw, framework catches, classifies, and formats
• Pluggable auth: none, jwt, oauth
• Swappable storage backends: in-memory, filesystem, Supabase, Cloudflare KV/R2/D1
• Structured logging with optional OpenTelemetry tracing
• STDIO and Streamable HTTP transports

Open Food Facts-specific: